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DuckDB-Wasm: Fast Analytical Processing for the Web

Summary: DuckDB-Wasm: a WebAssembly-based analytics DB in the browser, with async SQL in web workers and JavaScript UDFs. Uses a page-based filesystem for local/remote data; outperforms prior Web analytics libraries on TPC-H; enables an in-browser SQL shell. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hfa5b38106e2bfeb2
Venue
VLDB
Year
2022
Pagerank
6.0323825e-05
Overall Rank
5,694 | 61.74%
DOI
10.14778/3554821.3554847
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{kohn_vldb22,
        title = {{DuckDB-Wasm: Fast Analytical Processing for the Web}},
        author = {Kohn, André and Moritz, Dominik and Raasveldt, Mark and Mühleisen, Hannes and Neumann, Thomas},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {12},
        pages = {3574--3577},
        doi = {10.14778/3554821.3554847},
        url = {https://doi.org/10.14778/3554821.3554847},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank Citing Paper Year Venue Pagerank
5,244 DuckPGQ: Bringing SQL/PGQ to DuckDB 2023 VLDB 6.2127936e-05
6,563 MotherDuck: DuckDB in the cloud and in the client 2024 CIDR 5.7454485e-05
6,640 Physical Visualization Design: Decoupling Interface and System Design 2025 SIGMOD 5.72354e-05
8,559 F3: The Open-Source Data File Format for the Future 2026 SIGMOD 5.3141911e-05
10,359 Cloudspecs: Cloud Hardware Evolution Through the Looking Glass 2026 CIDR 4.9769913e-05
10,915 RayBooster: A Ray Tracing Engine to Accelerate SedonaDB 2026 VLDB 4.9769913e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
71 DuckDB: an Embeddable Analytical Database 2019 SIGMOD 0.00037724477
1,825 Data Management for Data Science: Towards Embedded Analytics 2020 CIDR 9.5558093e-05
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